Parallel Intelligence and Smart Energy: Social Energy Technology with Human Factors Incorporated

doi:10.11930/j.issn.1004-9649.201808046

Electric Power ›› 2018, Vol. 51 ›› Issue (10): 26-31.DOI: 10.11930/j.issn.1004-9649.201808046

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Parallel Intelligence and Smart Energy: Social Energy Technology with Human Factors Incorporated

ZHANG Jun^1,2,3, WANG Feiyue^1,3, LIN Jieyu²

1. The State Key Laboratory of Management and Control for Complex System, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China;
2. School of Electrical Engineering, Wuhan University, Wuhan 430072, China;
3. Qingdao Academy of Intelligent Industries, Qingdao 266071, China

Received:2018-08-09 Online:2018-10-05 Published:2018-10-12
Supported by:
This work is supported by Science and Technology Project of State Grid Corporation of China (No.SGTJDK00DWJS1700060).

Abstract

Abstract: With the integration of new energy resources and the increased power demands for both quantity and quality, Chinese power grid faces a series of new challenges. Within the framework of Energy 5.0, this article provides our perspective on the social energy technology with human factors fully incorporated. This article discusses the technical framework and application examples in the power supply side, transmission side, distribution side and demand side, specifically, including the intelligent power generation coordination using parallel perception and virtual system technology, the intelligent auxiliary decision-making for power dispatch using speech recognition and semantic analysis, and the demand side management using social energy and parallel intelligence technology. We aim to equip power systems with the capabilities of human-system interaction, artificial intelligence aided auxiliary decision making, self-learning, and demand side management with self-adaptation to volatile renewable energy generation.

Key words: human-system interaction, parallel intelligence, virtual artificial system, auxiliary decision-making, power transmission and distribution, smart power generation, smart power grid

CLC Number:

TM73

ZHANG Jun, WANG Feiyue, LIN Jieyu. Parallel Intelligence and Smart Energy: Social Energy Technology with Human Factors Incorporated[J]. Electric Power, 2018, 51(10): 26-31.

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Parallel Intelligence and Smart Energy: Social Energy Technology with Human Factors Incorporated

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